Yuant Tiandho, Riri Jonuarti, Brian Yuliarto, Suprijadi
The global issue of waterborne pathogen transmission in developing nations necessitates innovative solutions for pathogenic bacterial detection in drinking water sources. In this investigation, we present an innovative method for pathogen detection utilizing silver@gold nanorods (Ag@Au-NR) as optical-based biosensors, designed using the finite difference time domain approach. Additionally, we utilize response surface methodology to investigate and enhance the structure of Ag@Au-NR, thereby improving its performance in detecting specific pathogenic bacteria. Our research focuses on addressing the presence of three critical waterborne pathogens: Vibrio cholerae, Escherichia coli, and Salmonella typhimurium. We systematically optimize the Ag@Au-NR structure by varying parameters such as aspect ratio, nanorod width, and Au-thickness. Key response variables evaluated encompass localized surface plasmon resonance (LSPR) peak shift and detection accuracy. By employing rigorous calculations and optimization procedures, we obtained an Ag@Au-NR structure capable of undergoing a substantial shift in LSPR peak, reaching up to 13.099 nm. This achieved outcome is accompanied by a high detection accuracy of 0.016 during interactions with pathogens. This study also explores an optimal Ag@Au-NR structure to generate distinct LSPR peaks for individual pathogens, aiming to enhance the biosensor's selectivity properties. We present a two-step pathogen recognition approach reliant on the absorption peaks generated throughout the detection process. This method involves (i) discerning pathogens based on the LSPR peak shifting and (ii) evaluating the area under the absorption curve. The remarkable detection performance achieved in this study with Ag@Au-NR signifies a pivotal advancement in LSPR-based biosensors. This breakthrough offers promising avenues for developing highly efficient biosensors for safeguarding public health and addressing waterborne pathogen contamination in resource-constrained regions. © 2024 Elsevier Ltd
Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia; Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Jalan Prof. Dr. Hamka Air Tawar Barat, Padang, 25171, Indonesia; Advanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia; Research Center for Nanoscience and Nanotechnology (RCNN), Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia
